R Notebook

netflix_data <- read_csv("netflix-rotten-tomatoes-metacritic-imdb.csv")

-- Column specification -----------------------------------------------------------------------------------------------
cols(
  .default = col_character(),
  `Hidden Gem Score` = col_double(),
  `IMDb Score` = col_double(),
  `Rotten Tomatoes Score` = col_double(),
  `Metacritic Score` = col_double(),
  `Awards Received` = col_double(),
  `Awards Nominated For` = col_double(),
  `Netflix Release Date` = col_date(format = ""),
  `IMDb Votes` = col_double()
)
i Use `spec()` for the full column specifications.

netflix_data_cleaned <- read_csv("netflix-rotten-tomatoes-metacritic-imdb.csv")

-- Column specification -----------------------------------------------------------------------------------------------
cols(
  .default = col_character(),
  `Hidden Gem Score` = col_double(),
  `IMDb Score` = col_double(),
  `Rotten Tomatoes Score` = col_double(),
  `Metacritic Score` = col_double(),
  `Awards Received` = col_double(),
  `Awards Nominated For` = col_double(),
  `Netflix Release Date` = col_date(format = ""),
  `IMDb Votes` = col_double()
)
i Use `spec()` for the full column specifications.

netflix_data$Image[5]

[1] "https://occ-0-4039-1500.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABb72YCHDSHzrB8i5_iG56UFm-qV2bslRyMHIqZ4tmlIpeVtMsqAyUem6JAxXtV4Ec9jlA4EpTdf5tNX2ivyLUwmPy4d3xowFdJE63MPXbWu8kAnc-j9qhAZrmMI.jpg?r=fad"

names(netflix_genre)

[1] "netflix_data$Genre"

netflix_data %>%
  filter(grepl(head(netflix_actors, n = 1), Actors))

fig

No scattermapbox mode specifed:
  Setting the mode to markers
  Read more about this attribute -> https://plotly.com/r/reference/#scatter-mode
No scattermapbox mode specifed:
  Setting the mode to markers
  Read more about this attribute -> https://plotly.com/r/reference/#scatter-mode